Linking pages
- Estadistika https://estadistika.github.io/julia/python/packages/knet/flux/tensorflow/machine-learning/deep-learning/2019/06/20/Deep-Learning-Exploring-High-Level-APIs-of-Knet.jl-and-Flux.jl-in-comparison-to-Tensorflow-Keras.html 1 comment
- Why you shouldn't use Euler's method to solve ODEs - Nextjournal https://nextjournal.com/ChrisRackauckas/why-you-shouldnt-use-eulers-method-to-solve-odes 0 comments
Linked pages
- A Comparison Between Differential Equation Solver Suites In MATLAB, R, Julia, Python, C, Mathematica, Maple, and Fortran - Stochastic Lifestyle http://www.stochasticlifestyle.com/comparison-differential-equation-solver-suites-matlab-r-julia-python-c-fortran/ 66 comments
- https://diffeq.sciml.ai/stable/ 5 comments
- Intro to solving differential equations in Julia - YouTube https://www.youtube.com/watch?v=KPEqYtEd-zY 0 comments
- GitHub - SciML/ColPrac: Contributor's Guide on Collaborative Practices for Community Packages https://github.com/SciML/ColPrac 0 comments
- GitHub - JuliaSymbolics/Symbolics.jl: Symbolic programming for the next generation of numerical software https://github.com/JuliaSymbolics/Symbolics.jl 0 comments